Toloka review
Managed training data for AI agents and LLMs, with sales-quoted pricing
Toloka is headquartered in Amsterdam (vendor-sourced) and scores 7.5/10 as a managed supplier of training and evaluation data, ranked in Best AI Data Labs 2026. Pricing is quoted by sales and scoped per project, so it suits AI teams that want datasets produced under a project scope and not buyers who need fixed prices or a self-serve tool.
Toloka score breakdown
| Criterion | Weight | Score |
|---|---|---|
| Proof of results | 30% | 7.3/10 |
| Output quality | 25% | 7.6/10 |
| Ease of use | 15% | 7.6/10 |
| Pricing and value | 15% | 7.8/10 |
| Customer support | 10% | 7.4/10 |
| Security and compliance | 5% | 7.8/10 |
What Toloka is and who it is for
Toloka publishes crowd and expert annotation programs at toloka.ai for global ML teams (vendor-sourced).
Toloka is a managed supplier of training data for AI agents and LLMs, and it is built for AI teams that want datasets produced for them as a service (vendor-sourced).
Toloka suits AI teams that want datasets and evaluations produced for them. It is a weaker fit for buyers who want to compare published plan prices and sign up on their own, because the work is scoped per project. For other vendors, see our Appen alternatives.
What Toloka does
Toloka supplies training and evaluation data for AI agents and LLMs as a managed service (vendor-sourced). AI-related capability is judged here under output quality.
Toloka pricing
Pricing is quoted by sales and scoped per project (vendor-sourced).
Toloka pros
- G2 lists Tendem by Toloka at 5.0/5 from 1 review (review platform).
- Pricing transparency scores 7.8/10 in the listicle matrix (third-party reported).
- The service is managed, so a team receives datasets produced for it and does not need to run its own labelling workforce (vendor-sourced).
- Project-based scoping lets a buyer define domain and expertise needs instead of choosing from fixed plans (vendor-sourced).
Toloka cons
- Pricing is quoted by sales, so you need a sales conversation to estimate a budget (vendor-sourced).
- The offer is built for AI developers, so it does not serve buyers who want a self-serve data labelling tool.
- Because every engagement is scoped per project, comparing cost directly against other managed labs is difficult.
- Output quality scores 7.6/10, below Surge and Invisible on the same matrix (third-party reported).
How Toloka compares
- Surge AI: consider it when verifiable output quality leads the shortlist; the listicle composite is 8.6/10 with verifiable QA at 9.1/10 (third-party reported).
- Invisible Technologies: consider it when turnaround discipline matters; the listicle matrix scores turnaround at 8.8/10 (third-party reported).
Featured in: Best AI Data Labs 2026
Last researched: November 10, 2026.
Reviewed by Greylisting Team.
Toloka verdict
Toloka earns 7.5/10 as a managed supplier of training and evaluation data for AI agents and LLMs. It does not offer published pricing or a self-serve route. It is right for AI teams that want datasets and evaluations produced under a scoped project, and not for buyers who need fixed prices up front.